Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies

TRAN, William, SURAWEERA, Harini, QUIAOIT, Karina, DICENZO, Daniel, FATIMA, Kashuf, JANG, Deok, BHARDWAJ, Divya, KOLIOS, Christopher, KARAM, Irene, POON, Ian, SANNACHI, Lakshmanan, GANGEH, Mehrdad, SADEGHI-NAINI, Ali, DASGUPTA, Archya and CZARNOTA, Gregory J (2020). Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies. Future Science OA, 6 (9), FSO624.

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Abstract

Aim: We investigated quantitative ultrasound (QUS) in patients with node-positive head and neck malignancies for monitoring responses to radical radiotherapy (RT). Materials & methods: QUS spectral and texture parameters were acquired from metastatic lymph nodes 24 h, 1 and 4 weeks after starting RT. K-nearest neighbor and naive-Bayes machine-learning classifiers were used to build prediction models for each time point. Response was detected after 3 months of RT, and patients were classified into complete and partial responders. Results: Single-feature naive-Bayes classification performed best with a prediction accuracy of 80, 86 and 85% at 24 h, week 1 and 4, respectively. Conclusion: QUS-radiomics can predict RT response at 3 months as early as 24 h with reasonable accuracy, which further improves into 1 week of treatment.

Item Type:	Article
Identification Number:	https://doi.org/10.2144/fsoa-2020-0073
Page Range:	FSO624
SWORD Depositor:	Colin Knott
Depositing User:	Colin Knott
Date Deposited:	07 Sep 2020 12:16
Last Modified:	17 Mar 2021 21:01
URI:	https://shura.shu.ac.uk/id/eprint/27165

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